Genetic algorithms for symbolic clustering

This paper introduces a novel methodology for clustering of symbolic objects by making use of Genetic Algorithms (GAs). GAs are a family of computational models inspired by evolution. These algorithms encode potential solutions to specific problems on simple chromosome-like data structures and apply recombination operators to these structures so as to preserve critical information. A new type of representation for chromosome structure is presented here along with a new method for mutation. The efficacy of the proposed method is examined by application to numeric data of known number of classes and also to assertion type of symbolic objects drawn from the domain of fat oil, microcomputers, microprocessors and botany. The validity of the clusters obtained is examined.     

Familiarity and plausibility in conceptual combination: Reply to Gagné and Spalding (2006).

E. J. Wisniewski and G. L. Murphy (see record 2004-22496-015) suggested that the apparent effects of relation frequency in C. L. Gagné and E. J. Shoben's (1997; see record 1997-02349-004) conceptual combination experiments could be explained by differences between the familiarity and plausibility of their stimuli (noun-noun phrases). However, C. L. Gagné and T. L. Spalding (see record 2006-20573-017) argued that Wisniewski and Murphy's measures of plausibility and frequency are both sensitive to relation frequency. They also suggested that the stimuli were mostly novel, such that differences in familiarity could not explain Gagné and Shoben's findings. The current authors focus on the theoretical rationale for the plausibility and familiarity variables, arguing that the original interpretation of their findings is correct. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

钻石型分形晶格上BEG模型的临界行为

应用实空间重整化群方法研究了分形结构 -钻石型分级晶格上BEG(Blume Emery Griffith)模型的相变和临界现象 ,得到了重整化变换的递推关系 ,确定了重整化变换的不动点 ,并且计算了临界点附近关联长度的临界指数 发现钻石型分级晶格上BEG模型的相变温度为无穷大 ,这表明系统永远处于有序态     

A novel document similarity measure based on earth mover’s distance

In this paper we propose a novel measure based on the earth mover’s distance (EMD) to evaluate document similarity by allowing many-to-many matching between subtopics. First, each document is decomposed into a set of subtopics, and then the EMD is employed to evaluate the similarity between two sets of subtopics for two documents by solving the transportation problem. The proposed measure is an improvement of the previous OM-based measure, which allows only one-to-one matching between subtopics. Experiments have been performed on the TDT3 dataset to evaluate existing similarity measures and the results show that the EMD-based measure outperforms the optimal matching (OM) based measure and all other measures. In addition to the TextTiling algorithm, the sentence clustering algorithm is adopted for document decomposition, and the experimental results show that the proposed EMD-based measure does not rely on the document decomposition algorithm and thus it is more robust than the OM-based measure.     

灵活运用数据库设计理论

简介了关系模型、键、完整性规则、E-R模型、函数依赖、模式分解和关系模式的范式等数据库技术基础和规范化设计理论，从键和完整性规则的实现、数据冗余的特殊情况和字典设计等方面论述了在实际设计工作中如何灵活运用关系数据库设计理论。     

陶瓷企业公共关系与市场营销

公共关系是提高企业形象竞争力的法宝,企业将公共关系运用于营销活动之中,能够与社会公众建立、维持和发展良好的互利关系,通过树立良好的企业形象和信誉,从而为企业市场营销创造一个和谐的环境。从公共关系与市场营销的内涵入手,对市场营销中公共关系的作用和具体应用进行了初步的分析,希望通过这些分析,能够引起陶瓷企业在营销活动中对公共关系的注意。     

空间环型区域上的关联函数

本文利用锥函数方法，给出空间环型区域上关联函数的一种计算方法。     

严格环境管理提高环境意识

环境伴随着经济的发展越来越体现了它的重要性,全社会应重视环境、保护环境,以预防为主,加强综合治理,使我们的天更蓝、水更净、草更绿,到处充满着春的意境.     

图像置乱效果评价算法综述

图像置乱技术通过对图像矩阵的重排操作,破坏图像矩阵的相关性,从而实现信息加密。图像置乱效果评价方法是对图像置乱程度的客观评价,目前涌现的图像置乱方法都从各个方面验证其自身的优越性,但仍没有一种通用的评判方法。该文根据最优置乱效果的定义,讨论了一些现有的图像置乱效果评判方法,在深入研究这些方法的原理后,对各置乱性能评判方法的客观性进行了深入分析和讨论。